There are provided a vehicle orientation estimation system and a vehicle orientation estimation method which can accurately estimate an inclination angle of a vehicle without being affected by a traveling place or an environment in a vehicle orientation estimation system and a vehicle orientation estimation method which estimate an orientation of the vehicle using an in-vehicle camera. A region setting unit that sets a first region and a second region that is on the same horizontal line as the first region, in a measurement region corresponding to a road surface acquired by a distance measurement device mounted on a vehicle; a distance calculation unit that calculates a distance to the road surface of each of the first region and the second region from the vehicle; and an inclination angle calculation unit that obtains an inclination angle of the vehicle based on the distance to the road surface of each of the first region and the second region and a positional relationship of the first region and the second region are included.

Systems and methods for measuring how level a trailer is and providing trailer levelling guidance. The systems and methods include a vehicle comprising a vehicle levelness estimator, a trailer connectable to the vehicle and a rear facing camera mounted on the vehicle. The methods and systems include capturing an image of the trailer using the rear facing camera, receiving a vehicle levelness parameter from the vehicle levelness estimator of the vehicle, determining a rotation angle of the trailer relative to the vehicle based on the image, determining an estimated trailer levelness parameter based on the rotation angle and the vehicle levelness parameter, and outputting the estimated trailer levelness parameter.

Systems and methods for measuring how level a trailer is and providing trailer levelling guidance. The systems and methods include a vehicle comprising a vehicle levelness estimator, a trailer connectable to the vehicle and a rear facing camera mounted on the vehicle. The methods and systems include capturing an image of the trailer using the rear facing camera, receiving a vehicle levelness parameter from the vehicle levelness estimator of the vehicle, determining a rotation angle of the trailer relative to the vehicle based on the image, determining an estimated trailer levelness parameter based on the rotation angle and the vehicle levelness parameter, and outputting the estimated trailer levelness parameter.

A determination apparatus of a center of gravity position includes a vehicle on which a cargo is loadable, a self-location detector that acquires self-location data of the vehicle, a turning parameter generator that calculates a turning parameter based on the self-location data, a steering detector that detects a steering control value of the vehicle, a memory that stores reference data, a comparator that compares the turning parameter calculated by the turning parameter generator and the steering control value detected by the steering detector with the reference data, and a determiner that determines a center of gravity position of the vehicle or the cargo based on comparison results of the comparator.

A determination apparatus of a center of gravity position includes a vehicle on which a cargo is loadable, a self-location detector that acquires self-location data of the vehicle, a turning parameter generator that calculates a turning parameter based on the self-location data, a steering detector that detects a steering control value of the vehicle, a memory that stores reference data, a comparator that compares the turning parameter calculated by the turning parameter generator and the steering control value detected by the steering detector with the reference data, and a determiner that determines a center of gravity position of the vehicle or the cargo based on comparison results of the comparator.

A posture estimation method includes calculating a posture change amount of an object based on an output of an angular velocity sensor, predicting posture information of the object by using the posture change amount, limiting a bias error in a manner of limiting a bias error component of an angular velocity around a reference vector in error information, and correcting the predicted posture information of the object based on the error information, the reference vector, and an output of a reference observation sensor.

Provided herein is a system and method that acquires data and determines a driving action based on the data. The system comprises a sensor, one or more processors, and a memory storing instructions that, when executed by the one or more processors, causes the system to perform, determining data of interest comprising an object, feature, or region of interest, determining whether a sharpness of the data of interest exceeds a threshold, in response to determining that the sharpness does not exceed a threshold, operating the sensor to increase the sharpness of the data of interest until the sharpness exceeds the threshold, in response to the sharpness exceeding the threshold, determining a driving action of a vehicle based on the data of interest, and performing the driving action

Provided herein is a system and method that acquires data and determines a driving action based on the data. The system comprises a sensor, one or more processors, and a memory storing instructions that, when executed by the one or more processors, causes the system to perform, determining data of interest comprising an object, feature, or region of interest, determining whether a sharpness of the data of interest exceeds a threshold, in response to determining that the sharpness does not exceed a threshold, operating the sensor to increase the sharpness of the data of interest until the sharpness exceeds the threshold, in response to the sharpness exceeding the threshold, determining a driving action of a vehicle based on the data of interest, and performing the driving action

A method to determine a roll angle (λ.sub.E) of a vehicle, wherein the roll angle (λ.sub.E) is calculated as a combination of at least a first roll angle variable (λ.sub.1) and a second roll angle variable (λ.sub.2), wherein the first roll angle variable (λ.sub.1) is determined from an acquired rolling rate ({dot over (λ)}.sub.m) of the vehicle using a first method, wherein the second roll angle variable (λ.sub.2) is determined from one or more further vehicle movement dynamics characteristic variables using a second method.

A method to determine a roll angle (λ.sub.E) of a vehicle, wherein the roll angle (λ.sub.E) is calculated as a combination of at least a first roll angle variable (λ.sub.1) and a second roll angle variable (λ.sub.2), wherein the first roll angle variable (λ.sub.1) is determined from an acquired rolling rate ({dot over (λ)}.sub.m) of the vehicle using a first method, wherein the second roll angle variable (λ.sub.2) is determined from one or more further vehicle movement dynamics characteristic variables using a second method.